Employee Recruitment with Fuzzy Tsukamoto Algorithm
At a glance
- Citations
- 2
- References
- 12
- Comments
- 0
Abstract
This research is intended to determine employees who suitable with company criteria. Method which used is Fuzzy Tsukamoto Algorithm. Inferences process on this method done with the rules IF-THEN shaped and use AND operation, where will choose minimum value from two variable. The result of the research is employees who criteria is appropriate. The result is obtain from fuzzy tsukamoto process, start with taking criteria from company as parameter, then do fuzzyfication process that is create fuzzy community from company's criteria, here in after create membership function, create rules, finished with defuzzyfication and value which obtained is 67,41. Certainly with those value, fuzzy tsukamoto very help company to determine best employees to work in the company.
Publication details
- DOI
- 10.1088/1757-899x/407/1/012162
- OpenAlex
- W2893769310
- Document type
- conference-paper
- Language
- EN
- Source
- IOP Conference Series Materials Science and Engineering
- Last metadata update
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